About the role
🚀 AI Developer (Agentic Systems)
Phoeniqs Technologies | Build the Future of Autonomous Intelligence
At Phoeniqs Technologies, we’re not just integrating AI into systems — we’re engineering intelligence that can think, plan, collaborate, and act.
We’re looking for a forward-thinking AI Developer to help us design and scale the next generation of goal-driven, autonomous AI agents capable of multi‑step reasoning, tool usage, and continuous self‑improvement. If you’re passionate about agent architectures, prompt engineering, and modular AI orchestration — and want to ship real-world AI systems that actually do things — this is your role.
🌟 What You’ll Be Building
You’ll work at the frontier of applied AI, developing production-grade agentic systems that can: • Make decisions • Plan and execute complex tasks • Collaborate with other agents • Learn from memory • Interact with tools, APIs, and real-world environments
From research agents to coding copilots and planning assistants — your work will power intelligent systems that move from response-based AI → action-based autonomy.
🛠️ Your Impact • Architect and develop agentic AI systems using frameworks like LangChain, AutoGen, DSPy, CrewAI or custom orchestration layers • Design modular, goal-oriented workflows for autonomous task planning and inter-agent collaboration • Implement advanced agent patterns including: • Planner–Executor loops • ReAct • Reflection & Self‑Verification • Engineer sophisticated prompting strategies: • Chain-of-Thought • Tree-of-Thought • Structured outputs • Prompt versioning • Build persistent memory systems (short-term, long-term, episodic) • Integrate LLMs (OpenAI, Anthropic, Cohere, Mistral, DeepSeek, OSS models) with execution environments: • Python • Bash • SQL • REST APIs • Browser automation • Design and optimize RAG pipelines with vector databases and hybrid search • Implement API orchestration, tool calling, and code execution agents • Deploy scalable AI systems using Docker, CI/CD, and cloud platforms • Monitor agent behavior, execution traces, and reasoning paths • Implement human-in-the-loop workflows to ensure safe autonomy • Collaborate with Product, Engineering, Data Science, and UX teams to deliver high-impact AI solutions
✅ What You Bring • 3+ years in Software Engineering or Applied AI • Strong Python skills • Hands-on experience with agent frameworks such as: LangChain, DSPy, AutoGen, CrewAI (or equivalent) • Deep understanding of agent design patterns:, Planner/Executor, Memory & Reflection loops, Tool selection, Self-evaluation • Expertise in prompt engineering, including: Chain‑of‑Thought, ReAct, Structured prompting, Output validation • Experience building RAG systems: Chunking strategies Embedding optimization Retrieval tuning • Experience with vector DBs: FAISS, Pinecon ,Weaviate, OpenSearch • LLM deployment via APIs or open-source models (e.g. LLaMA, Mistral, Qwen, DeepSeek) • Familiarity with inference frameworks: vLLM, TGI, Ollama • Tool integration experience: REST APIs, Databases, File systems, Browser automation • Working knowledge of: Docker, Git, AWS / GCP / Azure
✨ Bonus Points • Built AI copilots, taskbots, or autonomous agents in production • Experience with observability & safety tooling: • Guardrails AI • Rebuff • HoneyHive • Model routing & dynamic model selection • Context window optimisation • Fine-tuning techniques (LoRA, QLoRA) • Contributions to open-source agent or LLM tooling • Familiarity with: • Prompt injection mitigation • Alignment strategies • AI safety best practices
🔥 Why Phoeniqs?
At Phoeniqs Technologies, you’ll work on cutting-edge AI systems that move beyond chat into execution and autonomy. We believe the future of software is agent-driven, and we’re building the orchestration layer that makes it real.
If you’re excited by the idea of AI systems that don’t just assist — but act — we’d love to meet you.
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